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inspectdf
0.0.11inspect_types()
for pairwise comparison
plotsinspect_types()
for pairwise
comparisonsvdiffr
1.0.0 for graphics testsinspect_cat()
plots when number of
categories is small. Thanks to Ivo
Kwee for the suggestion.inspect_num()
histogram bins are correct in
comparisons of data frames. Thanks to Roel Verbelen for the
report.inspectdf
0.0.10include_int
option in inspect_cat()
to
allow treatment of integer columns as categorical.pval
in the resulting output.inspect_cat()
respect any filtering or
sorting of the summary output prior to show_plot()
. Thanks
to Roel Verbelen for the
report.inspect_type()
comparison of two
dataframes to make it easier to see which columns and types differ.inspectdf
0.0.9return
properly.inspectdf
0.0.8show_plot
argument has been removed from all inspect_*()
functions.
To generate visualisations of data frame summaries, please use the more
flexible show_plot(inspect_*())
or via the pipe
inspect_*() %>% show_plot()
.show_plot()
improvement that nudges points that might
otherwise have coincided for dataframe comparisons of imbalance (for
example, with
inspect_imb(df1, df2) %>% show_plot()
)inspect_cor()
,
inspect_na()
and `inspect.inspect_cor()
slight speed up for dataframes with large
numbers of columns.inspect_cor()
can be filtered prior to plotting, for
example
inspect_cor(starwars) %>% filter(abs(corr) > 0.2) %>% show_plot()
.
Thanks to Roel Verbelen
for the suggestioninspect_imb()
to fail on certain
types of factor columns. Thanks to Roel Verbelen for the report.show_plot()
has new arguments label_size
,
label_angle
and label_color
. Each provide
adjustments to text annotation where applicable. Thanks to Bartosz Bursa for the suggestion.coord_flip()
works on resulting plots. Thanks to Roel Verbelen for the
report.inspectdf
0.0.7bytes
column to inspect_mem()
output, for downstream numeric comparison and consistency with
inspectpd
.pcnt_nna
column to inspect_cor()
output containing the percentage of pairwise complete observations used
calculated correlations. Thanks to Theo Broekman for the
suggestion.inspect_
statements to be incorrect. Thanks to the report
from Theo Broekman.inspect_num()
.inspectdf
0.0.6inspect_*
functions now returns results by group
grouped dataframes.inspect_num() %>% show_plot()
to
show histograms with color palettes specified by the
col_palette
argument.inspect_imb()
to sometimes fail when
factors present. Thanks to Doug Friedman for the report.inspectdf
0.0.5inspect_num()
to fail when columns
contained all NA
values. Thanks to Ryan Tanner for the reportinspect_cor()
for large data frames with
many numeric columns.method = 'kendall'
and method = 'spearman'
in
inspect_cor()
.inspectdf
0.0.4inspect_na() %>% show_plot()
to
fail when 0 NA
present. Thanks to the report
by Metin Yazici.show_plot()
now returns a ggplot2
object
rather than printing the plot - thanks to Garrick Aden-Buie for the suggestion.inspect_cat
plotting by avoiding
text labels for small regions.tech
dataset.inspect_cat()
plots when
labels are empty strings. By default ""
will be shown.
Thanks to Michael Swenson for
the reportinspect_cor(method = ...)
argument added, thanks to
suggestion from George Dontas.
Options for pearson
, spearman
and
kendall
. Note that confidence intervals and tests currently
only supported for pearson
.inspect_cat()
& inspect_imb()
.inspectdf
0.0.3text_labels
autoscale size using
ggfittext::geom_fit_text()
. For an example see inspect_cat()
.
Thanks to David Wilkins for the
PR.show_plot()
via
col_palette
argument. Colorblind friendly option specified
via show_plot(col_palette = 1)
- thanks to Richard Careaga for the
suggestion.inspect_imb()
.
include_na
option for categorical columns that are 100%
missing, or constant are underlined in plot for easier
comprehension.inspect_cor()
inspect_cor()
comparison
plots - makes it easier to see smaller differences in
correlations.NA
correlations omitted from inspect_cor()
comparison when plotted. Ordering of correlations reversed to be
consistent with returned tibble.inspectdf
0.0.2show_plot()
function (show_plot
argument
in inspect_
functions will be dropped in a future
version)high_cardinality
argument in show_plot()
for combining unique or near-unique categories for plotting
inspect_cat()
.progress
bars shown when processing larger
datasetsinspectdf
0.0.1These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.